Work

Learning-Based Meta-Algorithm for MRI Brain Extraction

Year: 2011

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-23626-6_39

Authors: Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1761222865, Early Brain Development in One and Two Year Olds, Neonatal Brain Segmentation, G2211031860, G2686953907, G2849260730, G3186634833, G3258782064, Prospective Studies of the Pathogenesis of Schizophrenia, Continued Development of HAMMER Algorithm for Fast Registration, G4798393751, Longitudinal Mapping of Human Brain Development in the First Years of Life, G5294563186, Fast, Robust Analysis of Large Population Data, G665197000, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, Characterization of Normal Brain Development Using Parallel MRI

OpenAlex ID: W2158289918

FWCI: 1.194

Cites: 11

Cited by: 17

Related to: 10